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应用倾向评分方法于神经病学临床研究

Applying Propensity Score Methods in Clinical Research in Neurology.

机构信息

From ICES (P.C.A., A.Y.X.Y., M.V.V., M.K.K.), Toronto; Institute of Health Management, Policy and Evaluation (P.C.A., M.K.K.) and Divisions of Neurology (A.Y.X.Y., M.V.V.) and General Internal Medicine (M.K.K.), Department of Medicine, University of Toronto; and Sunnybrook Research Institute (P.C.A.), Toronto, Canada.

出版信息

Neurology. 2021 Nov 2;97(18):856-863. doi: 10.1212/WNL.0000000000012777. Epub 2021 Sep 9.

Abstract

Propensity score-based analysis is increasingly being used in observational studies to estimate the effects of treatments, interventions, and exposures. We introduce the concept of the propensity score and how it can be used in observational research. We describe 4 different ways of using the propensity score: matching on the propensity score, inverse probability of treatment weighting using the propensity score, stratification on the propensity score, and covariate adjustment on the propensity score (with a focus on the first 2). We provide recommendations for the use and reporting of propensity score methods for the conduct of observational studies in neurologic research.

摘要

倾向评分分析越来越多地被用于观察性研究,以估计治疗、干预和暴露的效果。我们介绍了倾向评分的概念及其在观察性研究中的应用。我们描述了使用倾向评分的 4 种不同方法:倾向评分匹配、倾向评分逆概率处理加权、倾向评分分层和倾向评分协变量调整(重点介绍前两种)。我们为神经科学研究中进行观察性研究时使用和报告倾向评分方法提供了建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a40e/8610625/b9d9a6e8000c/NEUROLOGY2021174004f1.jpg

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